Temidayo Omolaoye
Assistant Professor of Physiology, College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai Health
"I am truly excited to embark on this impactful project, supported by the Dubai Future Foundation’s RDI Grant, which addresses the significant and often under-recognized burden of male infertility in the UAE through innovative, non-invasive, AI-powered diagnostic solutions. Through strong partnerships with local and international institutions, this initiative will enhance data robustness, foster regional relevance, and contribute meaningfully to positioning Dubai as a hub for clinically validated digital health solutions."
Infertility is a growing health concern globally, affecting nearly 1 in 7 couples, with male factors contributing to over 50% of infertility cases. Traditional semen analysis methods, while essential, are often limited by subjectivity, time constraints, and variability in results. This Repro-Omics study presents an innovative AI-driven big data solution to revolutionize male reproductive health diagnostics and overall men’s health. By applying machine learning models and deep learning techniques, the platform will utilize and integrate semen parameters data, lifestyle data, biochemical parameters, multi-omics, and environmental pollutants data to classify subtypes of male infertility and predict semen quality and broader health status. This integrative approach also holds promise for identifying the most effective, individualized treatment strategies.
Overall, this project aims to empower healthcare providers with a robust clinical decision-support tool to facilitate personalized, evidence-based care in male infertility management.